{"id":"W2227452765","doi":"","title":"第35回日本リウマチ・関節外科学会シンポジウムより効果的なDMARDsの使い方を考える；ミゾリビンベースの治療から","year":2008,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001144514,0.0003056291,0.0001871041,0.001014662,0.002237047,0.005132343,0.0004419993,0.001026409,0.0161087],"category_scores_gemma":[0.001787089,0.0002195681,0.0003188241,0.0006111679,0.006763963,0.002575973,0.00126482,0.001223072,0.002072842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004622955,"about_ca_system_score_gemma":0.00438796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0166607,"about_ca_topic_score_gemma":0.009245653,"domain_scores_codex":[0.9991413,0.0001414718,0.00003047176,0.000146905,0.0004000599,0.0001397199],"domain_scores_gemma":[0.9993255,0.0001591477,0.00006998605,0.00005794422,0.0002747577,0.000112766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000160925,0.00001651654,0.0003517749,0.00003401232,0.000008637972,0.00005731432,0.003004419,0.0002834286,0.0009584371,0.9682948,0.005646717,0.02132786],"study_design_scores_gemma":[0.00001312241,0.00005403979,0.002934417,0.00008923704,0.0000279923,0.0001773814,0.005054367,0.0003597851,0.002183477,0.6486348,0.3404325,0.0000389885],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.05551826,0.004056178,0.00935794,0.01910741,0.0006501796,0.00005464474,0.0001419874,0.00007158284,0.9110417],"genre_scores_gemma":[0.8408003,0.002102087,0.006805625,0.002229589,0.0002039137,0.00004211109,0.00006885834,0.00002928646,0.1477183],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.0166607,"threshold_uncertainty_score":0.05388892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02103031034476917,"score_gpt":0.2526392776302792,"score_spread":0.23160896728551,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}